| hier. clustering | *Unverified author* | R Software Module: rwasp_hierarchicalclustering.wasp (opens new window with default values) | Title produced by software: Hierarchical Clustering | Date of computation: Mon, 10 Nov 2008 06:59:06 -0700 | | Cite this page as follows: | Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov.htm/, Retrieved Mon, 10 Nov 2008 13:59:49 +0000 | | BibTeX entries for LaTeX users: | @Manual{KEY,
author = {{YOUR NAME}},
publisher = {Office for Research Development and Education},
title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov.htm/},
year = {2008},
}
@Manual{R,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Development Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2008},
note = {{ISBN} 3-900051-07-0},
url = {http://www.R-project.org},
}
| | Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data) | | | Feedback Forum: | Post a new message | | Original text written by user: | | | IsPrivate? | No (this computation is public) | | User-defined keywords: | | | Dataseries X: | » Textbox « » Textfile « » CSV « | 94,71 1995,37 10511 512238
93,77 1946,81 10812 519164
95,73 1765,9 10738 517009
95,99 1635,25 10171 509933
95,82 1833,42 9721 509127
95,47 1910,43 9897 500857
95,82 1959,67 9828 506971
94,71 1969,6 9924 569323
96,33 2061,41 10371 579714
96,5 2093,48 10846 577992
96,16 2120,88 10413 565464
96,33 2174,56 10709 547344
96,33 2196,72 10662 554788
95,05 2350,44 10570 562325
96,84 2440,25 10297 560854
96,92 2408,64 10635 555332
97,44 2472,81 10872 543599
97,78 2407,6 10296 536662
97,69 2454,62 10383 542722
96,67 2448,05 10431 593530
98,29 2497,84 10574 610763
98,2 2645,64 10653 612613
98,71 2756,76 10805 611324
98,54 2849,27 10872 594167
98,2 2921,44 10625 595454
96,92 2981,85 10407 590865
99,06 3080,58 10463 589379
99,65 3106,22 10556 584428
99,82 3119,31 10646 573100
99,99 3061,26 10702 567456
100,33 3097,31 11353 569028
99,31 3161,69 11346 620735
101,1 3257,16 11451 628884
101,1 3277,01 11964 628232
100,93 3295,32 12574 612117
100,85 3363,99 13031 595404
100,93 3494,17 13812 597141
99,6 3667,03 14544 593408
101,88 3813,06 14931 590072
101,81 3917,96 14886 579799
102,38 3895,51 16005 574205
102,74 3801,06 17064 572775
102,82 3570,12 15168 572942
101,72 3701,61 16050 619567
103,47 3862,27 15839 625809
102,98 3970,1 15137 619916
102,68 4138,52 14954 587625
102,9 4199,75 15648 565742
103,03 4290,89 15305 557274
101,29 4443,91 15579 560576
103,69 4502,64 16348 548854
103,68 4356,98 15928 531673
104,2 4591,27 16171 525919
104,08 4696,96 15937 511038
104,16 4621,4 15713 498662
103,05 4562,84 15594 555362
104,66 4202,52 15683 564591
104,46 4296,49 16438 541657
104,95 4435,23 17032 527070
105,85 4105,18 17696 509846
106,23 4116,68 17745 514258 | | Output produced by software: | Enter (or paste) a matrix (table) containing all data (time) series. Every column represents a different variable and must be delimited by a space or Tab. Every row represents a period in time (or category) and must be delimited by hard returns. The easiest way to enter data is to copy and paste a block of spreadsheet cells. Please, do not use commas or spaces to seperate groups of digits!
Summary of Dendrogram | Label | Height | 1 | 584.444552117650 | 2 | 659.637584435575 | 3 | 829.859640240444 | 4 | 872.485521541762 | 5 | 944.143727300033 | 6 | 1004.28130451582 | 7 | 1013.63626005584 | 8 | 1151.53669958886 | 9 | 1445.84613431029 | 10 | 1490.33022934516 | 11 | 1498.81254338226 | 12 | 1549.71508533020 | 13 | 1701.84744266341 | 14 | 1786.59942734794 | 15 | 1886.95706514709 | 16 | 1908.94652591423 | 17 | 1911.39195037440 | 18 | 1949.58659123214 | 19 | 1952.7472450115 | 20 | 2163.84686835737 | 21 | 2194.41793364471 | 22 | 2205.70888861155 | 23 | 2468.65608208191 | 24 | 2684.93955176392 | 25 | 3126.44037663352 | 26 | 3584.29538038284 | 27 | 3989.68988006835 | 28 | 4423.67837931419 | 29 | 4698.40877053591 | 30 | 5037.25682415873 | 31 | 5266.79343195292 | 32 | 5554.54397524532 | 33 | 5850.84742380214 | 34 | 6389.8807912099 | 35 | 6516.77260209315 | 36 | 6781.83712993758 | 37 | 6962.56314802277 | 38 | 7021.07438875741 | 39 | 7152.26377536558 | 40 | 7200.51438547275 | 41 | 7963.43289697721 | 42 | 10289.4841285626 | 43 | 11607.2851195226 | 44 | 11805.4984737415 | 45 | 11940.5446326579 | 46 | 16000.1869639818 | 47 | 16704.9477317962 | 48 | 17542.4953564001 | 49 | 18536.3572001604 | 50 | 20168.0904998403 | 51 | 21848.3494011471 | 52 | 27832.3394847137 | 53 | 40011.3661816668 | 54 | 45422.6126143287 | 55 | 47694.8313514359 | 56 | 80667.9841637241 | 57 | 195858.141475331 | 58 | 201906.993643512 | 59 | 506301.218772732 | 60 | 1113728.30418665 |
| Charts produced by software: | | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov/1dz4p1226325545.png (open in new window) | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov/1dz4p1226325545.ps (open in new window) |
| http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov/2wswh1226325545.png (open in new window) | http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Nov/10/t1226325587djtde90uk1paxov/2wswh1226325545.ps (open in new window) |
| | Parameters (Session): | par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ; | | Parameters (R input): | par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ; | | R code (references can be found in the software module): | par3 <- as.logical(par3)
par4 <- as.logical(par4)
if (par3 == 'TRUE'){
dum = xlab
xlab = ylab
ylab = dum
}
x <- t(y)
hc <- hclust(dist(x),method=par1)
d <- as.dendrogram(hc)
str(d)
mysub <- paste('Method: ',par1)
bitmap(file='test1.png')
if (par4 == 'TRUE'){
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
if (par2 != 'ALL'){
if (par3 == 'TRUE'){
ylab = 'cluster'
} else {
xlab = 'cluster'
}
par2 <- as.numeric(par2)
memb <- cutree(hc, k = par2)
cent <- NULL
for(k in 1:par2){
cent <- rbind(cent, colMeans(x[memb == k, , drop = FALSE]))
}
hc1 <- hclust(dist(cent),method=par1, members = table(memb))
de <- as.dendrogram(hc1)
bitmap(file='test2.png')
if (par4 == 'TRUE'){
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
str(de)
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- length(x[,1])-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,hc$labels[i])
a<-table.element(a,hc$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
if (par2 != 'ALL'){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Cut Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- par2-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,i)
a<-table.element(a,hc1$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
| |
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